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| 1 | Rituximab in the treatment of idiopathic thrombocytopenic purpura(ITP) 显示文摘 | ALASFOOR K ALRASHEED M ALSAYEGH F | 2009 | Ann Hematol2009，88，： | 1 |
| 2 | Performativity of Muslimness: The Exilic Encounters of African Muslims in Europe and the Intersection of Gender Race and Religion显示文摘 | Ameena Alrasheed Nayei | 2013 | Journal of Sociology Study2013，3，1： | 1 |
| 3 | Rituximah in the treatment of idiopathic thrombocytopenic purpura (ITP) 显示文摘 | Alasfoor K Alrasheed M Alsayegh F | 2009 | Ann Hematol2009，88，3： | 1 |
| 4 | Rituximab in the treatment of idiopathic thrombocytopenic purpura(ITP)显示文摘 | Alasfoor K Alrasheed M Alsayegh F | 2009 | Ann Hematol2009，88，3： | 1 |
| 5 | Homozygosity for a Missense Mutation in SERPINH1 , which Encodes the Collagen Chaperone Protein HSP47, Results in Severe Recessive Osteogenesis Imperfecta显示文摘 | Helena E. Christiansen Ulrike Schwarze Shawna M. Pyott Abdulrahman AlSwaid Mohammed Al Balwi Shatha Alrasheed Melanie G. Pepin Mary Ann Weis David R. Eyre Peter H. Byers | 2010 | The American Journal of Human Genetics2010，，： | 1 |
| 6 | Deep Learning and Holt-Trend Algorithms for Predicting Covid-19 Pandemic显示文摘The Covid-19 epidemic poses a serious public health threat to the world,where people with little or no pre-existing human immunity can be more vulnerable to its effects.Thus,developing surveillance systems for predicting the Covid-19 pandemic at an early stage could save millions of lives.In this study,a deep learning algorithm and a Holt-trend model are proposed to predict the coronavirus.The Long-Short Term Memory(LSTM)and Holttrend algorithms were applied to predict confirmed numbers and death cases.The real time data used has been collected from theWorld Health Organization(WHO).In the proposed research,we have considered three countries to test the proposed model,namely Saudi Arabia,Spain and Italy.The results suggest that the LSTM models show better performance in predicting the cases of coronavirus patients.Standard measure performance Mean squared Error(MSE),Root Mean Squared Error(RMSE),Mean error and correlation are employed to estimate the results of the proposed models.The empirical results of the LSTM,using the correlation metrics,are 99.94%,99.94%and 99.91%in predicting the number of confirmed cases in the three countries.As far as the results of the LSTM model in predicting the number of death of Covid-19,they are 99.86%,98.876%and 99.16%with respect to Saudi Arabia,Italy and Spain respectively.Similarly,the experiment’s results of the Holt-Trend model in predicting the number of confirmed cases of Covid-19,using the correlation metrics,are 99.06%,99.96%and 99.94%,whereas the results of the Holt-Trend model in predicting the number of death cases are 99.80%,99.96%and 99.94%with respect to the Saudi Arabia,Italy and Spain respectively.The empirical results indicate the efficient performance of the presented model in predicting the number of confirmed and death cases of Covid-19 in these countries.Such findings provide better insights regarding the future of Covid-19 this pandemic in general.The results were obtained by applying time series models,which need to be considered for the sake of saving the lives of many people. | Theyazn H.H.Aldhyani Melfi Alrasheed Mosleh Hmoud Al-Adaileh Ahmed Abdullah Alqarni Mohammed Y.Alzahrani Ahmed H.Alahmadi | 2021 | Computers, Materials & Continua2021，，5： | 0 |
| 7 | Educational Research on a Water Elevator显示文摘This project involves modeling a water elevator in order to study its behavior and relate its mechanical advantages to various fluid mechanics properties. The reason that this small scale water elevator was constructed was to get a better understanding of such real world applications. As developing engineers, students have to grasp how to implement the theory they learn in the classroom. The properties of the water elevator were described with the energy equation, conservation of mass, volumetric flow rate, and hydrostatic pressure. After conducting various tests, theoretical and experimental values were compared and an analysis of the data was assembled allowing for the development of a more thorough understanding of fluid mechanics. | Antonio Agoncillo Ahmad Alahmad Shayea Aldughaiem Saud Almutairi Ali Alnaser Mohammad Alrasheed Ahed Dashtti Kimberly Duran Michael Vartanians David Boyajian Tadeh Zirakian | 2018 | Journal of Civil Engineering and Architecture2018，12，12： | 0 |
| 8 | Practical guide:Glucagon-like peptide-1 and dual glucosedependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonists in diabetes mellitus显示文摘Practical guide:Glucagon-like peptide-1 and dual glucosedependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonists in diabetes mellitus common second-line choice after metformin for treating T2DM.Various considerations can make selecting and switching between different GLP-1 RAs challenging.Our study aims to provide a comprehensive guide for the usage of GLP-1 RAs and dual GIP and GLP-1 RAs for the management of T2DM. | Saleh Fahad Alqifari Omar Alkomi Abdullah Esmail Khadijeh Alkhawami Shahd Yousri Mohamad Ayham Muqresh Nawwarah Alharbi Abdullah A Khojah Ahmed Aljabri Abdulrahman Allahham Kousalya Prabahar Hanan Alshareef Mohammed Aldhaeefi Tariq Alrasheed Ali Alrabiah Laila A AlBishi | 2024 | World Journal of Diabetes2024，15，3： | 0 |
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